標題: Titlebook: Belief Functions: Theory and Applications; 6th International Co Thierry Den?ux,Eric Lefèvre,Frédéric Pichon Conference proceedings 2021 Spr [打印本頁] 作者: cherub 時間: 2025-3-21 17:40
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書目名稱Belief Functions: Theory and Applications讀者反饋學(xué)科排名
作者: 我正派 時間: 2025-3-21 22:26 作者: 微粒 時間: 2025-3-22 03:40
https://doi.org/10.1007/978-1-349-86189-7a-cluster to the associated new classes using the .-Nearest neighbor technique. Two experiments show that CClu can handle imbalanced datasets with high accuracy, and the errors are reduced by properly modeling imprecision.作者: gorgeous 時間: 2025-3-22 06:05 作者: overweight 時間: 2025-3-22 10:07 作者: 推遲 時間: 2025-3-22 12:53 作者: 眉毛 時間: 2025-3-22 18:15 作者: PHIL 時間: 2025-3-23 00:24
Unequal Singleton Pair Distance for Evidential Preference Clusteringy and imprecision. However, traditional distances on belief functions do not adapt to some intrinsic properties of preference relations, especially when indifference relation is taken into comparison, therefore may cause inconsistent results in preference-based applications. In order to solve this i作者: 遺棄 時間: 2025-3-23 03:38
Transfer Evidential C-Means Clusteringa powerful clustering algorithm developed in the theoretical framework of belief functions. Based on the concept of credal partition, it extends those of hard, fuzzy, and possibilistic clustering algorithms. However, as a clustering algorithm, it can only work well when the data is sufficient and th作者: heckle 時間: 2025-3-23 09:14
https://doi.org/10.1007/978-3-030-88601-1artificial intelligence; combination rules; computer hardware; computer science; computer systems; comput作者: 痛苦一生 時間: 2025-3-23 12:33 作者: 嫻熟 時間: 2025-3-23 17:37
Conference proceedings 2021er 2021. The 30 full papers presented in this book were carefully selected and reviewed from 37 submissions. The papers cover a wide range on theoretical aspects on mathematical foundations, statistical inference as well as on applications in various areas including classification, clustering, data fusion, image processing, and much more.作者: 含鐵 時間: 2025-3-23 18:07
https://doi.org/10.1007/978-1-349-86189-7e steps in exploratory data analysis. However, it is time-consuming due to the introduction of meta-cluster, which is regarded as a new cluster and defined by the disjunction (union) of several special (singleton) clusters. In this paper, a simple and fast method is proposed to extract the credal pa作者: 情感脆弱 時間: 2025-3-23 22:17
https://doi.org/10.1007/978-1-349-86189-7 suitable for imbalanced data. This paper proposes a new method, called credal clustering (CClu), to deal with imbalanced data based on the theory of belief functions. Consider a dataset with . wanted classes, the credal .-means (CCM) clustering method is employed at first to divide the dataset into作者: Immunization 時間: 2025-3-24 04:45
Religion and Materialist Philosophycult to learn an ideal cluster model. In such cases, multi-view data can be taken into consideration in the clustering task. However, the inconsistency cross views may increase the cluster uncertainty. In this research, a new clustering method for multi-view object data, called MvWECM (Multi-view We作者: watertight, 時間: 2025-3-24 09:51
Aktuelle Situation der Kreditwirtschaft,y and imprecision. However, traditional distances on belief functions do not adapt to some intrinsic properties of preference relations, especially when indifference relation is taken into comparison, therefore may cause inconsistent results in preference-based applications. In order to solve this i作者: EVEN 時間: 2025-3-24 13:50
Grundlagen und Struktur des Modells,a powerful clustering algorithm developed in the theoretical framework of belief functions. Based on the concept of credal partition, it extends those of hard, fuzzy, and possibilistic clustering algorithms. However, as a clustering algorithm, it can only work well when the data is sufficient and th作者: PACK 時間: 2025-3-24 16:26
Belief Functions: Theory and Applications978-3-030-88601-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 陶器 時間: 2025-3-24 22:45
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/183301.jpg作者: angiography 時間: 2025-3-25 01:51
Conference proceedings 2021er 2021. The 30 full papers presented in this book were carefully selected and reviewed from 37 submissions. The papers cover a wide range on theoretical aspects on mathematical foundations, statistical inference as well as on applications in various areas including classification, clustering, data 作者: Gorilla 時間: 2025-3-25 05:57 作者: 蒙太奇 時間: 2025-3-25 10:33 作者: 六邊形 時間: 2025-3-25 13:48
0302-9743 , in October 2021. The 30 full papers presented in this book were carefully selected and reviewed from 37 submissions. The papers cover a wide range on theoretical aspects on mathematical foundations, statistical inference as well as on applications in various areas including classification, cluster作者: 現(xiàn)暈光 時間: 2025-3-25 16:08 作者: 截斷 時間: 2025-3-25 21:29
Religion and Materialist Philosophyinto account by incorporating the concept of view weights to measure the importance of each view. An objective function is defined to look for the best credal partitions over the different views. Experimental results on generated and UCI data sets show the advantage of the proposed method.作者: 燕麥 時間: 2025-3-26 02:40 作者: 悲觀 時間: 2025-3-26 07:20 作者: 支柱 時間: 2025-3-26 09:20 作者: 機構(gòu) 時間: 2025-3-26 13:59
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